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Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

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Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

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Marín-Morales, J.; Higuera-Trujillo, JL.; Greco, A.; Guixeres Provinciale, J.; Llinares Millán, MDC.; Scilingo, EP.; Alcañiz Raya, ML.... (2018). Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors. Scientific Reports. 8:1-15. https://doi.org/10.1038/s41598-018-32063-4

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Title: Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors
Author: Marín-Morales, Javier Higuera-Trujillo, Juan Luis Greco, Alberto Guixeres Provinciale, Jaime Llinares Millán, María del Carmen Scilingo, Enzo Pasquale Alcañiz Raya, Mariano Luis Valenza, Gaetano
UPV Unit: Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà
Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Issued date:
[EN] Affective Computing has emerged as an important field of study that aims to develop systems that can automatically recognize emotions. Up to the present, elicitation has been carried out with nonimmersive stimuli. ...[+]
Subjects: Affective computing , Affective elicitation , Emotion elicitation , Emotion recognition , Virtual reality , Immersive virtual environment , Architecture , Neuroarchitecture , Electroencephalographic , Heart rate variability
Copyrigths: Reconocimiento (by)
Scientific Reports. (issn: 2045-2322 )
DOI: 10.1038/s41598-018-32063-4
Nature Publishing Group
Publisher version: https://doi.org/10.1038/s41598-018-32063-4
Project ID:
This work was supported by the Ministerio de Economia y Competitividad. Spain (Project TIN2013-45736-R).
Type: Artículo


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